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20222026
most citedParticle Denoising Diffusion Sampler

2 citations · 3 across the 4 of their papers we have counts for

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stat.ML2026

Bayesian Experimental Design via Score Matching

Angus Phillips, Gavin Kerrigan, Tom Rainforth

Policy-based approaches to Bayesian experimental design (BED) allow the learning of deep policy networks that adaptively make intelligent design decisions based on previously colle…

stat.ML2026

Action-BED: Task-Driven Bayesian Experimental Design with Singly Intractable Objectives

Tom Rossa, Angus Phillips, Tom Rainforth

Bayesian experimental design (BED) has traditionally been based on maximising expected uncertainty reductions from prior to posterior. A major shortfall of this approach is that it…